EMA/SMA + Multi-Timeframe Dashboard (Vertical)20/50 ema and 200 sma
The EMA SMA Trading Indicator combines the power of Exponential Moving Averages (EMA) and Simple Moving Averages (SMA) to help traders identify trends, reversals, and key entry/exit points.
Features:
Dual Moving Averages: Tracks both EMA and SMA to provide a balanced view of short-term and long-term market trends.
Customizable Periods: Allows users to set unique periods for EMA and SMA to suit their trading style and timeframe (e.g., day trading, swing trading, or investing).
Cross Alerts: Highlights EMA and SMA crossover points, which often indicate potential buy or sell signals.
Color-Coded Lines: Visual differentiation between EMA (dynamic and responsive) and SMA (smooth and lagging) for better readability.
Multi-Timeframe Compatibility: Suitable for scalping, intraday trading, and long-term analysis.
Usage:
Trend Confirmation: When the EMA is above the SMA, it signals a bullish trend; when it is below the SMA, it signals a bearish trend.
Crossover Strategy: Use crossovers as potential buy (EMA crosses above SMA) or sell (EMA crosses below SMA) signals.
Dynamic Support/Resistance: EMA can act as short-term support/resistance, while SMA represents long-term levels.
This indicator is perfect for traders who want to combine EMA's speed with SMA's stability for improved decision-making in volatile markets. Customizable alerts and visual cues make it user-friendly for beginners and experienced traders.
Make informed decisions and take your trading to the next level with the EMA SMA Trading Indicator!
Трендовый анализ
VPSA-VTDDear Sir/Madam,
I am pleased to present the next iteration of my indicator concept, which, in my opinion, serves as a highly useful tool for analyzing markets using the Volume Spread Analysis (VSA) method or the Wyckoff methodology.
The VPSA (Volume-Price Spread Analysis), the latest version in the family of scripts I’ve developed, appears to perform its task effectively. The combination of visualizing normalized data alongside their significance, achieved through the application of Z-Score standardization, proved to be a sound solution. Therefore, I decided to take it a step further and expand my project with a complementary approach to the existing one.
Theory
At the outset, I want to acknowledge that I’m aware of the existence of other probabilistic models used in financial markets, which may describe these phenomena more accurately. However, in line with Occam's Razor, I aimed to maintain simplicity in the analysis and interpretation of the concepts below. For this reason, I focused on describing the data using the Gaussian distribution.
The data I read from the chart — primarily the closing price, the high-low price difference (spread), and volume — exhibit cyclical patterns. These cycles are described by Wyckoff's methodology, while VSA complements and presents them from a different perspective. I will refrain from explaining these methods in depth due to their complexity and broad scope. What matters is that within these cycles, various events occur, described by candles or bars in distinct ways, characterized by different spreads and volumes. When observing the chart, I notice periods of lower volatility, often accompanied by lower volumes, as well as periods of high volatility and significant volumes. It’s important to find harmony within this apparent chaos. I think that chart interpretation cannot happen without considering the broader context, but the more variables I include in the analytical process, the more challenges arise. For instance, how can I determine if something is large (wide) or small (narrow)? For elements like volume or spread, my script provides a partial answer to this question. Now, let’s get to the point.
Technical Overview
The first technique I applied is Min-Max Normalization. With its help, the script adjusts volume and spread values to a range between 0 and 1. This allows for a comparable bar chart, where a wide bar represents volume, and a narrow one represents spread. Without normalization, visually comparing values that differ by several orders of magnitude would be inconvenient. If the indicator shows that one bar has a unit spread value while another has half that value, it means the first bar is twice as large. The ratio is preserved.
The second technique I used is Z-Score Standardization. This concept is based on the normal distribution, characterized by variables such as the mean and standard deviation, which measures data dispersion around the mean. The Z-Score indicates how many standard deviations a given value deviates from the population mean. The higher the Z-Score, the more the examined object deviates from the mean. If an object has a Z-Score of 3, it falls within 0.1% of the population, making it a rare occurrence or even an anomaly. In the context of chart analysis, such strong deviations are events like climaxes, which often signal the end of a trend, though not always. In my script, I assigned specific colors to frequently occurring Z-Score values:
Below 1 – Blue
Above 1 – Green
Above 2 – Red
Above 3 – Fuchsia
These colors are applied to both spread and volume, allowing for quick visual interpretation of data.
Volume Trend Detector (VTD)
The above forms the foundation of VPSA. However, I have extended the script with a Volume Trend Detector (VTD). The idea is that when I consider market structure - by market structure, I mean the overall chart, support and resistance levels, candles, and patterns typical of spread and volume analysis as well as Wyckoff patterns - I look for price ranges where there is a lack of supply, demand, or clues left behind by Smart Money or the market's enigmatic identity known as the Composite Man. This is essential because, as these clues and behaviors of market participants — expressed through the chart’s dynamics - reflect the actions, decisions, and emotions of all players. These behaviors can help interpret the bull-bear battle and estimate the probability of their next moves, which is one of the key factors for a trader relying on technical analysis to make a trade decision.
I enhanced the script with a Volume Trend Detector, which operates in two modes:
Step-by-Step Logic
The detector identifies expected volume dynamics. For instance, when looking for signs of a lack of bullish interest, I focus on setups with decreasing volatility and volume, particularly for bullish candles. These setups are referred to as No Demand patterns, according to Tom Williams' methodology.
Simple Moving Average (SMA)
The detector can also operate based on a simple moving average, helping to identify systematic trends in declining volume, indicating potential imbalances in market forces.
I’ve designed the program to allow the selection of candle types and volume characteristics to which the script will pay particular attention and notify me of specific market conditions.
Advantages and Disadvantages
Advantages:
Unified visualization of normalized spread and volume, saving time and improving efficiency.
The use of Z-Score as a consistent and repeatable relative mechanism for marking examined values.
The use of colors in visualization as a reference to Z-Score values.
The possibility to set up a continuous alert system that monitors the market in real time.
The use of EMA (Exponential Moving Average) as a moving average for Z-Score.
The goal of these features is to save my time, which is the only truly invaluable resource.
Disadvantages:
The assumption that the data follows a normal distribution, which may lead to inaccurate interpretations.
A fixed analysis period, which may not be perfectly suited to changing market conditions.
The use of EMA as a moving average for Z-Score, listed both as an advantage and a disadvantage depending on market context.
I have included comments within the code to explain the logic behind each part. For those who seek detailed mathematical formulas, I invite you to explore the code itself.
Defining Program Parameters:
Numerical Conditions:
VPSA Period for Analysis – The number of candles analyzed.
Normalized Spread Alert Threshold – The expected normalized spread value; defines how large or small the spread should be, with a range of 0-1.00.
Normalized Volume Alert Threshold – The expected normalized volume value; defines how large or small the volume should be, with a range of 0-1.00.
Spread Z-SCORE Alert Threshold – The Z-SCORE value for the spread; determines how much the spread deviates from the average, with a range of 0-4 (a higher value can be entered, but from a logical standpoint, exceeding 4 is unnecessary).
Volume Z-SCORE Alert Threshold – The Z-SCORE value for volume; determines how much the volume deviates from the average, with a range of 0-4 (the same logical note as above applies).
Logical Conditions:
Logical conditions describe whether the expected value should be less than or equal to or greater than or equal to the numerical condition.
All four parameters accept two possibilities and are analogous to the numerical conditions.
Volume Trend Detector:
Volume Trend Detector Period for Analysis – The analysis period, indicating the number of candles examined.
Method of Trend Determination – The method used to determine the trend. Possible values: Step by Step or SMA.
Trend Direction – The expected trend direction. Possible values: Upward or Downward.
Candle Type – The type of candle taken into account. Possible values: Bullish, Bearish, or Any.
The last available setting is the option to enable a joint alert for VPSA and VTD.
When enabled, VPSA will trigger on the last closed candle, regardless of the VTD analysis period.
Example Use Cases (Labels Visible in the Script Window Indicate Triggered Alerts):
The provided labels in the chart window mark where specific conditions were met and alerts were triggered.
Summary and Reflections
The program I present is a strong tool in the ongoing "game" with the Composite Man.
However, it requires familiarity and understanding of the underlying methodologies to fully utilize its potential.
Of course, like any technical analysis tool, it is not without flaws. There is no indicator that serves as a perfect Grail, accurately signaling Buy or Sell in every case.
I would like to thank those who have read through my thoughts to the end and are willing to take a closer look at my work by using this script.
If you encounter any errors or have suggestions for improvement, please feel free to contact me.
I wish you good health and accurately interpreted market structures, leading to successful trades!
CatTheTrader
Candle Counter by ComLucro - Multi-Timefram - 2025_V01Candle Counter by ComLucro - Multi-Timeframe - 2025_V01
The Candle Counter by ComLucro - Multi-Timeframe is a highly customizable tool designed to help traders monitor the number of candles across various timeframes directly on their charts. Whether you're analyzing trends or tracking specific market behaviors, this indicator provides a seamless and efficient way to enhance your technical analysis.
Key Features:
Flexible Timeframe Selection: Track candle counts on yearly, monthly, weekly, daily, or hourly intervals to suit your trading style.
Dynamic Label Positioning: Choose to display labels above or below candles, offering greater control over your chart layout.
Customizable Colors: Adjust label text colors to match your chart's aesthetics and improve visibility.
Clean and Organized Visualization: Automatically generates labels for each candle without overcrowding your chart.
How It Works:
Select a Timeframe: Choose from yearly, monthly, weekly, daily, or hourly intervals based on your analysis needs.
Automatic Counting: The indicator calculates and displays the number of candles for the selected period directly on your chart.
Label Customization: Adjust the position (above or below the candles) and color of the labels to align with your preferences.
Why Use This Indicator?
This script is perfect for traders who need a clear and visual representation of candle counts in specific timeframes. Whether you're monitoring trends, evaluating price action, or developing strategies, the Candle Counter by ComLucro adapts to your needs and helps you make informed decisions.
Disclaimer:
This script is intended for educational and informational purposes only. It does not constitute financial advice. Always practice responsible trading and ensure this tool aligns with your strategies and risk management practices.
About ComLucro:
ComLucro is dedicated to providing traders with practical tools and educational resources to improve decision-making in the financial markets. Discover other scripts and strategies developed to enhance your trading experience.
Enhanced HMA 5D standard Deviation - RickSimple hull moving average enhanced with standard deviation bands calculated over a 5 day period to account for volatility in ranging periods.
Possibility to choose the source of the hull calculation, as well as the source to use as threshold for long and short signal.
Two different types of visualization: candle coloring or moving average.
Aura Vibes EMA Ribbon + VStop + SAR + Bollinger BandsThe combination of Exponential Moving Averages (EMA), Volatility Stop (VStop), Parabolic SAR (PSAR), and Bollinger Bands (BB) offers a comprehensive approach to technical analysis, each serving a distinct purpose:
Exponential Moving Averages (EMA): EMAs are used to identify the direction of the trend by smoothing price data. Shorter-period EMAs react more quickly to price changes, while longer-period EMAs provide a broader view of the trend.
Volatility Stop (VStop): VStop is a dynamic stop-loss mechanism that adjusts based on market volatility, typically using the Average True Range (ATR). This allows traders to set stop-loss levels that accommodate market fluctuations, potentially reducing the likelihood of premature stop-outs.
Parabolic SAR (PSAR): PSAR is a trend-following indicator that provides potential entry and exit points by plotting dots above or below the price chart. When the dots are below the price, it suggests an uptrend; when above, a downtrend.
Bollinger Bands (BB): BB consists of a middle band (typically a 20-period simple moving average) and two outer bands set at standard deviations above and below the middle band. These bands expand and contract based on market volatility, helping traders identify overbought or oversold conditions.
Integrating these indicators can enhance trading strategies:
Trend Identification: Use EMAs to determine the prevailing market trend. For instance, a short-term EMA crossing above a long-term EMA may signal an uptrend.
Entry and Exit Points: Combine PSAR and BB to pinpoint potential entry and exit points. For example, a PSAR dot appearing below the price during an uptrend, coinciding with the price touching the lower Bollinger Band, might indicate a buying opportunity.
Risk Management: Implement VStop to set adaptive stop-loss levels that adjust with market volatility, providing a buffer against market noise.
By thoughtfully combining these indicators, traders can develop a robust trading system that adapts to various market conditions.
[blackat] L1 Funding Bottom Wave█ OVERVIEW
The script "Funding Bottom Wave" is an indicator designed to analyze market conditions based on multiple smoothed price calculations and specific thresholds. It calculates several values such as B-value, VAR2-value, and additional signals like SK and SD to identify buy/sell levels and reversals, aiding traders in making informed decisions.
█ LOGICAL FRAMEWORK
The script consists of several main components:
• Input parameters that allow customization of calculation periods and thresholds.
• A custom function funding_wave that computes various financial metrics and conditions.
• Plotting commands to visualize different aspects of those computations.
Data flows from input parameters into the funding_wave function where calculations are performed. These results are then plotted according to specified conditions. The script uses conditional expressions to define when certain plots should appear based on the computed values.
█ CUSTOM FUNCTIONS
funding_wave Function:
This function takes six arguments: close_price, high_price, low_price, open_price, period_b, and period_var2. It performs several calculations including:
• Price range percentage normalized between lowest and highest prices over 60 bars.
• SMA of this value over periods defined by period_b and period_var2.
• Several moving averages (MA), EMAs, and extreme point markers (highest/lowest).
• Multiple condition checks involving these metrics leading to buy/high signal flags.
Returns: An array containing B-value, VAR2-value, SK-value, SD-value, along with various conditional signal indicators.
█ KEY POINTS AND TECHNIQUES
• Utilizes built-in TA functions (ta.highest, ta.lowest, ta.sma, ta.ema) for smoothing and normalization purposes.
• Implements extensive use of ternary operators and boolean logic to determine plot visibility based on specific criteria.
• Employs column-style plotting which highlights significant transitions in calculated metric levels visually.
• No explicit loops; computations utilize vectorized operations inherent to Pine Script's nature.
█ EXTENDED KNOWLEDGE AND APPLICATIONS
Potential modifications/extensions include:
• Adding alerts for key threshold crossovers or meeting certain conditions.
• Customizing more sophisticated alert messages incorporating current time and symbol details.
• Incorporating stop-loss/take-profit strategies dynamically adjusted by indicator outputs.
Similar techniques can be applied in:
• Developing robust trend-following systems combining momentum oscillators.
• Enhancing basic price action rulesets with statistical filters derived from historical data behaviors.
• Exploring intraday breakout strategies predicated upon sudden changes in market sentiment captured via volatility spikes.
Related concepts/features:
• Using arrays to encapsulate complex return structures for reusability across scripts/functions.
• Leveraging na effectively within plotting constructs ensures cleaner chart presentation avoiding clutter from irrelevant points.
█ MARKET MEANING OF DIFFERENT COLORED COLUMNS
Red Columns ("B above Var2"):
• Market Interpretation: When the red columns appear, it indicates that the B-value is higher than the VAR2-value. This suggests a strengthening upward trend or consolidation phase where the market might be experiencing buying pressure relative to recent trends.
• Trading Implication: Traders may consider this as a potentially bullish sign, indicating strength in the underlying asset.
Green Columns ("B below Var2"):
• Market Interpretation: Green columns indicate that the B-value is lower than the VAR2-value. This could suggest downward trend acceleration or weakening buying pressure compared to recent trends.
• Trading Implication: Traders might interpret this as a bearish signal, suggesting a possible decline in the market.
Aqua Columns ("SK below SD"):
• Market Interpretation: Aqua columns show instances where the SK-value is below the SD-value. This typically signifies that the short-term stochastic oscillator (or similar measure) is signaling oversold conditions but not yet reaching extremes.
• Trading Implication: While not necessarily a strong sell signal, aqua columns might prompt traders to look for further confirmation before entering long positions.
Fuchsia Columns ("SK above SD"):
• Market Interpretation: Fuchsia columns represent situations where the SK-value exceeds the SD-value. This usually indicates overbought conditions in the near term.
• Trading Implication: Traders often view fuchsia columns as cautionary signs, possibly prompting them to exit existing long positions or refrain from adding new ones without further analysis.
Yellow Columns ("High Condition" and "High Condition Both"):
• Market Interpretation: Yellow columns occur when either the SK-value or B-value crosses above predefined high thresholds (e.g., 90). If both cross simultaneously, they form "High Condition Both."
• Trading Implication: Strongly bullish signals indicating overheated markets prone to corrections. Traders may see this as a good opportunity to take profits or prepare for a pullback/corrective move.
Blue Columns ("Low Condition" and "Low Condition Both"):
• Market Interpretation: Blue columns emerge when either the SK-value or B-value drops below predefined low thresholds (e.g., 10). Simultaneous crossing forms "Low Condition Both."
• Trading Implication: Potentially bullish reversal setups once the market starts showing signs of bottoming out after being significantly oversold. Traders might use blue columns as entry points for establishing long positions or hedging against anticipated rebounds.
Light Purple Columns ("Low Condition with Reversal" and "Low Condition Both with Reversal"):
• Market Interpretation: Light purple columns signify moments when the SK-value or B-value falls below their respective thresholds but has started reversing upwards immediately afterward. If both fall and reverse together, it's denoted as "Low Condition Both with Reversal."
• Trading Implication: Suggests a possible early-stage rebound from an extended downtrend or sideways movement. This could be seen as a highly reliable bulls' flag formation setup.
White Columns ("High Condition with Reversal" and "High Condition Both with Reversal"):
• Market Interpretation: White columns denote scenarios where the SK-value or B-value breaches high thresholds (e.g., 90) but begins descending shortly thereafter. Both simultaneously crossing leads to "High Condition Both with Reversal."
• Trading Implication: Indicative of peak overbought conditions followed quickly by exhaustion in buying interest. This warns traders about potential imminent retracements or pullbacks, prompting exits or short positions.
█ SUMMARY TABLE OF COLUMN COLORS AND THEIR MEANINGS
Color Type Market Interpretation Trading Implication
Red B above Var2 Strengthening upward trend/consolidation Bullish sign
Green B below Var2 Downward trend acceleration/weakening buying pressure Bearish sign
Aqua SK below SD Oversold conditions but not extreme Cautionary signal
Fuchsia SK above SD Overbought conditions Take profit/precaution
Yellow High Condition / High Condition Both Overheated market, likely correction coming Good time to exit/additional selling
Blue Low Condition / Low Condition Both Possible bull/rebound setup Entry point/hedging
Light Purple Low Condition with Reversal / Low Condition Both with Reversal Early-stage rebound from downtrend Reliable bulls' flag formation
White High Condition with Reversal / High Condition Both with Reversal Peak overbought with imminent retracement Exit positions/warning
Understanding these color-coded signals can help traders make more informed decisions, whether for entry, exit, or risk management in trading strategies. Each set of colors provides distinct insights into market dynamics and trends, aiding in effective execution of trade plans.
OCM Quarter Point Autopilot - A Multi-Timeframe Quarter TheoryDescription:
The OCM Quarter Point Autopilot indicator automates the application of Quarters Theory across multiple timeframes and instruments. It creates a comprehensive grid of support and resistance levels based on two user-defined price points (Monthly QTPs).
Key Features:
- Automatically calculates and displays quarter points across 5 timeframes:
• Monthly (Black lines)
• Weekly (Blue lines)
• Daily (Green lines)
• 4-Hour (Red lines)
• 1-Hour (Purple lines)
- Shows both upper and lower ranges, which can be toggled on/off
- Visual hierarchy through color-coding for easy timeframe identification
- Extends lines 2 years into the past and 6 months into the future
Usage:
1. Enter two Monthly Quarter Trading Points (QTPs)
2. The indicator automatically:
- Calculates midpoints (weekly)
- Quarter points (daily)
- Eighth points (4-hour)
- Further subdivisions (1-hour)
Benefits:
- Identifies potential support/resistance levels
- Helps spot key price targets
- Works on any instrument where psychological levels matter
- Provides multiple timeframe analysis in one view
Best suited for traders who:
- Follow multi-timeframe analysis
- Trade using support/resistance levels
- Want to identify potential price targets
- Need structured price levels for entries/exits
The indicator combines the systematic approach of Quarters Theory with automated calculation and visualization, making it easier to identify key price levels across multiple timeframes.
AI InfinityAI Infinity – Multidimensional Market Analysis
Overview
The AI Infinity indicator combines multiple analysis tools into a single solution. Alongside dynamic candle coloring based on MACD and Stochastic signals, it features Alligator lines, several RSI lines (including glow effects), and optionally enabled EMAs (20/50, 100, and 200). Every module is individually configurable, allowing traders to tailor the indicator to their personal style and strategy.
Important Note (Disclaimer)
This indicator is provided for educational and informational purposes only.
It does not constitute financial or investment advice and offers no guarantee of profit.
Each trader is responsible for their own trading decisions.
Past performance does not guarantee future results.
Please review the settings thoroughly and adjust them to your personal risk profile; consider supplementary analyses or professional guidance where appropriate.
Functionality & Components
1. Candle Coloring (MACD & Stochastic)
Objective: Provide an immediate visual snapshot of the market’s condition.
Details:
MACD Signal: Used to identify bullish and bearish momentum.
Stochastic: Detects overbought and oversold zones.
Color Modes: Offers both a simple (two-color) mode and a gradient mode.
2. Alligator Lines
Objective: Assist with trend analysis and determining the market’s current phase.
Details:
Dynamic SMMA Lines (Jaw, Teeth, Lips) that adjust based on volatility and market conditions.
Multiple Lengths: Each element uses a separate smoothing period (13, 8, 5).
Transparency: You can show or hide each line independently.
3. RSI Lines & Glow Effects
Objective: Display the RSI values directly on the price chart so critical levels (e.g., 20, 50, 80) remain visible at a glance.
Details:
RSI Scaling: The RSI is plotted in the chart window, eliminating the need to switch panels.
Dynamic Transparency: A pulse effect indicates when the RSI is near critical thresholds.
Glow Mode: Choose between “Direct Glow” or “Dynamic Transparency” (based on ATR distance).
Custom RSI Length: Freely adjustable (default is 14).
4. Optional EMAs (20/50, 100, 200)
Objective: Utilize moving averages for trend assessment and identifying potential support/resistance areas.
Details:
20/50 EMA: Select which one to display via a dropdown menu.
100 EMA & 200 EMA: Independently enabled.
Color Logic: Automatically green (price > EMA) or red (price < EMA). Each EMA’s up/down color is customizable.
Configuration Options
Candle Coloring:
Choose between Gradient or Simple mode.
Adjust the color scheme for bullish/bearish candles.
Transparency is dynamically based on candle body size and Stochastic state.
Alligator Lines:
Toggle each line (Jaw/Teeth/Lips) on or off.
Select individual colors for each line.
RSI Section:
RSI Length can be set as desired.
RSI lines (0, 20, 50, 80, 100) with user-defined colors and transparency (pulse effect).
Additional lines (e.g., RSI 40/60) are also available.
Glow Effects:
Switch between “Dynamic Transparency” (ATR-based) and “Direct Glow”.
Independently applied to the RSI 100 and RSI 0 lines.
EMAs (20/50, 100, 200):
Activate each one as needed.
Each EMA’s up/down color can be customized.
Example Use Cases
Trend Identification:
Enable Alligator lines to gauge general trend direction through SMMA signals.
Timing:
Watch the Candle Colors to spot potential overbought or oversold conditions.
Fine-Tuning:
Utilize the RSI lines to closely monitor important thresholds (50 as a trend barometer, 80/20 as possible reversal zones).
Filtering:
Enable a 50 EMA to quickly see if the market is trading above (bullish) or below (bearish) it.
Custom Percent Pullback LevelThis script takes a stock's current day low and current day high and lets you set a custom pullback level (line and label on the chart) that you can then set an alert for or use as an indicator if the stock is still bullish or bearish.
Pullbacks can be useful for momentum runners to identify potential continuation. As a rule of thumb many people want to see that stock hold onto at least 33% of it's daily gain to continue a bullish look. Some people may want it to hold 50%, and others may want to see a certain amount of gains held through new highs.
This tool allows you to set a custom pullback level for that day so you can easily spot on the chart if the stock is nearing or falling below those levels. You can also set an alert for that level in order to get your attention.
Max The Minner: RSI Bands with Min/Max [by Oberlunar]This Pine Script, titled "Max The Minner: RSI Bands with Min/Max " is a technical indicator designed to visualize RSI-based dynamic bands with local minimum and maximum levels on a chosen timeframe. The script incorporates user-configurable parameters for RSI thresholds, resolution, and color settings, providing traders with a highly customizable tool for analyzing price behavior in relation to overbought and oversold conditions.
Core Functionality
The script begins by calculating the RSI (Relative Strength Index) using user-defined inputs for overbought and oversold levels, the RSI length, and the resolution (default set to daily). The RSI is computed through an exponential moving average (EMA) approach that smooths the upward and downward price movements, creating adaptive upper (ub) and lower (lb) bands based on the overbought and oversold thresholds.
These bands are then dynamically adjusted based on the current price (src) and the EMA calculations. The upper band (ub) represents a potential resistance zone aligned with the RSI overbought level, while the lower band (lb) represents a support zone aligned with the RSI oversold level. The script employs additional calculations to ensure the adaptive nature of these bands, depending on whether the RSI is pushing higher or lower relative to its thresholds.
Local Minima and Maxima
A key feature of the indicator is its ability to track and update local minima and maxima based on the chosen timeframe. The script uses a buffer system that refreshes these levels every three bars to smooth out noise and avoid excessive sensitivity to short-term fluctuations. These local extrema (localMin and localMax) are retrieved from the lower and upper prices of the selected timeframe and act as dynamic benchmarks for evaluating the RSI bands.
Conditional Logic
The script includes conditional logic to determine when the RSI bands intersect with or approach the local maxima or minima. For example:
The upper band (ub) is plotted only if it is below the local maximum, suggesting that price may encounter resistance.
Similarly, the lower band (lb) is plotted only if it is above the local minimum, indicating potential support.
This logic ensures that the bands are contextually relevant to the prevailing market structure, rather than being static overlays.
Visualization
The RSI bands and local extrema are plotted on the chart using color-coded lines, with transparency adjustable through user inputs. The upper band and local maximum are linked with a fill area, visually representing the resistance zone. Similarly, the lower band and local minimum are filled to highlight the support zone. These fills provide a clear depiction of price boundaries, making it easier for traders to spot key levels.
Additionally, the script marks breakout conditions. If the price exceeds the local maximum, a label is plotted at the breakout point with a distinctive style and color. Similarly, a breakout below the local minimum is labeled, providing a visual cue for significant price movements.
Customization
The script offers extensive customization options for both functionality and appearance:
Users can define the overbought and oversold levels for RSI, along with the RSI length and the resolution (timeframe).
Colors for the upper and lower bands, along with transparency (alpha) levels, can be adjusted, allowing for seamless integration with different chart styles.
The periodicity of the local minima and maxima updates is hardcoded to three bars but could be further parameterized for greater flexibility.
This indicator is particularly useful for traders who rely on RSI-based strategies and need a dynamic representation of overbought and oversold conditions in conjunction with local price extremes. By combining RSI bands with the context provided by local minima and maxima, it allows traders to:
Identify potential support and resistance levels.
Visualize price behavior relative to RSI thresholds.
Spot breakout opportunities when price exceeds predefined levels.
Landry Light Pine ScannerLandry Light Pine Scanner
The Landry Light Pine Scanner is a comprehensive technical analysis tool designed to identify stocks showing strong upward trends based on the Landry Light methodology. It scans for stocks where:
Today's low and yesterday's low are above the 30 EMA.
The low from two days ago is below the 30 EMA.
SMA 50 is above SMA 150, and SMA 150 is above SMA 200 (a strong bullish SMA hierarchy).
Features:
Trend Detection: Automatically highlights stocks with strong bullish trends based on EMA and SMA alignment.
Customizable Inputs: Users can adjust EMA and SMA lengths to fit their trading style.
Visual Clarity: Plots the 30 EMA, SMA 50, SMA 150, and SMA 200 directly on the chart for easy analysis.
Alert Ready: Integrated with TradingView's alert system to notify users when the conditions are met.
Chart Highlights: Automatically highlights bars that meet the conditions with a subtle green background.
Use Case:
This indicator is ideal for swing traders and position traders looking for potential breakout opportunities. By filtering stocks with a bullish structure, traders can focus on high-probability setups.
Conditions Used:
30 EMA Conditions:
Today's low is above the 30 EMA.
Yesterday's low is above the 30 EMA.
The low from two days ago is below the 30 EMA.
SMA Hierarchy:
SMA 50 is above SMA 150.
SMA 150 is above SMA 200.
Customization Options:
30 EMA Length: Adjustable to match user preferences.
SMA Lengths: SMA 50, SMA 150, and SMA 200 lengths are customizable for flexibility.
Alerts:
Users can set alerts for when the defined conditions are met, making it easy to monitor multiple stocks.
How to Use:
Apply the Indicator:
Add the indicator to your TradingView chart.
Set Alerts:
Use the built-in alert condition for automated notifications.
Analyze Trends:
Look for green-highlighted bars indicating stocks meeting the criteria.
Screen Stocks:
Use this tool as part of your screener to filter stocks efficiently.
Note:
This indicator does not provide buy or sell signals. Always combine it with other technical and fundamental analysis for informed trading decisions.
Publishing Tags:
Landry Light, EMA, SMA, Trend Analysis, Swing Trading, Position Trading, Technical Analysis, Breakout Scanner, TradingView, Pine Script
MarktQuants Supertrend"MarktQuants Supertrend" is an indicator designed to help traders visualize market trends using a combination of moving averages and dynamic range calculations. It adapts to market conditions, providing insights into potential trend directions:
Trend Identification:
Utilizes a customizable moving average (MA Type) with options like SMA, EMA, SMMA, WMA, VWMA, TEMA, DEMA, LSMA, HMA, or ALMA to smooth price action.
Calculates a dynamic range based on the highest high over a specified period (Length), adjusted by multipliers (Multiplier Alpha and Multiplier Beta).
Signal Generation:
The indicator assesses price relative to both the moving average and the calculated range (Average Range or Lookback Alpha and Beta).
Scores are computed to determine if the price action suggests a long (bullish) or short (bearish) trend via crossover signals from these scores.
Visual Indicators:
Candlesticks: The color changes based on the trend direction; greenish for long conditions and purplish for short conditions, enhancing visual trend recognition.
Moving Average Line: Plotted in semi-transparent color matching the trend, with a bold line for clarity.
Range Indicator: A line representing the average range, filled with semi-transparent color to show potential support or resistance levels.
Customization:
Users can toggle between using the average range or specific lookback periods for trend signals via the Use Average Range option.
Adjustable parameters for the moving average and range calculations allow for fine-tuning to various market instruments or trading styles.
Inputs:
Range Settings:
Length: Defines the period for calculating the highest high.
Lookback Alpha & Lookback Beta: Different lookback periods for range calculation.
Multiplier Alpha & Multiplier Beta: Multipliers for adjusting the range.
Use Average Range: Switch to use average or specific range for signals.
Source: Pick the preferred source for the range calculations.
Moving Average Settings:
Type: Choice of moving average type.
Length: Length of the moving average.
Source: The price source for the moving average calculation (default is close price).
Alert Options:
MQ - Supertrend Long for Long trades (Buy) when the Long Condition is met.
MQ - Supertrend Short for Short trades (Sell) when the Short Condition is met.
Note: This indicator is best used alongside other analysis tools to confirm trends and signals. Always consider the broader market context.
MA Trend DashboardMA Trend Dashboard - Features
The MA Trend Dashboard is a versatile and user-friendly indicator designed to provide a comprehensive overview of market trends across multiple timeframes using moving averages (MAs). Here's what this script offers:
1. Dashboard Display
A compact and visually appealing dashboard is overlaid on the chart.
The dashboard displays the trend direction and deviation percentages for 30-minute, 1-hour, and 4-hour timeframes.
Users can position the dashboard in different locations (Top Right, Middle Right, or Bottom Right) and customize the text size (Tiny, Small, Normal).
2. Multi-Timeframe Trend Analysis
The script uses the concept of Multi-Timeframe (MTF) analysis to assess trends across:
30-minute (30m)
1-hour (1h)
4-hour (4h)
Each timeframe's trend is evaluated using the selected moving average method.
3. Customizable Moving Average Methods
Users can choose from various moving average calculation methods:
SMA (Simple Moving Average)
EMA (Exponential Moving Average)
SMMA (Smoothed Moving Average or RMA)
WMA (Weighted Moving Average)
VWMA (Volume-Weighted Moving Average)
This flexibility allows for tailored trend analysis based on the user's preferred methodology.
4. Visual Trend Indicators
Clear visual cues indicate the trend direction for each timeframe:
↑ (Up): Bullish trend.
↓ (Down): Bearish trend.
↘ (Weak Up): Mild bullishness.
↗ (Weak Down): Mild bearishness.
The background color of each cell dynamically changes based on the trend:
Green: Uptrend.
Red: Downtrend.
5. Deviation Percentage
The dashboard includes the percentage difference between the current price and the moving average for each timeframe.
Positive percentages are highlighted in green, and negative percentages in red.
6. Customization Options
Text Color: Allows users to adjust the color of the text displayed in the dashboard.
MA Length: Users can set the period for the moving averages (default is 50).
7. Dynamic Requests
Utilizes TradingView's dynamic_requests feature to ensure accurate real-time data across different timeframes without cluttering the chart.
Usage
This indicator is ideal for traders who want a quick and reliable snapshot of market trends across multiple timeframes. It is particularly suited for intraday and swing trading strategies, offering insights into price momentum and potential reversals.
Follow Through Day (FTD) + Sweep [TrendX_]The Follow Through Day (FTD) + Sweep indicator is a Trend-following tool mixing William O'Neil's original FTD concept and Liquidity concept. This indicator helps you identify potential subsequent bullish trends with greater precision by combining volume analysis, price action, and liquidity concepts.
💎 FEATURES
Follow Through Day Candle (FTD Candle)
The FTD, pioneered by William O'Neil, serves as a reliable signal for identifying the beginning of new bull markets. It's particularly valuable because it combines multiple market factors - price action, volume, and timing - to confirm genuine market reversals rather than temporary bounces.
The power of the FTD lies in its ability to distinguish between ordinary market fluctuations and significant trend changes. By requiring specific criteria to be met across multiple sessions, it helps filter out false signals and identifies high-probability reversal points where institutional investors are likely beginning to accumulate positions.
Sweep Area
The Sweep area feature enhances the traditional FTD concept by incorporating modern liquidity analysis. This overlay identifies zones where large market participants are likely to trigger stop losses before continuing the trend. These areas often represent optimal entry points for traders looking to join the new uptrend with reduced risk.
🔎 BREAKDOWN
FTD Candle
The FTD formation process occurs in two distinct phases: Setup and Completion.
Setup Phase
Strong Market Decline
The market must first experience a significant downtrend
This selling pressure helps clear out weak hands and creates oversold conditions
The decline creates the potential energy for a powerful reversal
First Recovery Session
Marks the initial sign of buying pressure emerging
Often characterized by a strong reversal candle
Represents the first indication that selling pressure may be exhausting
Recovery Confirmation
The second and third days must maintain prices above the new pivot low
This consolidation period helps confirm the validity of the initial bounce
Shows that sellers are no longer in control of price action
Completion Phase:
Supply Test Session
Low volume indicates diminishing selling pressure
Price remains above the pivot low
Creates the foundation for institutional buyers to begin accumulating
Breakout Day
Price increase exceeds average profit of bullish candles
Volume increases by at least 15% compared to previous session
Shows strong institutional commitment to the new uptrend
Timing Window
Must occur between the 4th and 8th candle after First Recovery Session
This specific timing helps confirm the sustainability of the reversal
Based on O'Neil's research of historical market bottoms
FTD Sweep
The Post-FTD Phase introduces the Sweep concept, which is crucial for understanding how large market participants operate. This feature leverages the liquidity concept because institutional traders often need to trigger stop losses to accumulate larger positions at better prices. This helps:
Create liquidity pools for large position entries
Shake out weak hands before continuing the trend
Test the strength of the new trend by absorbing selling pressure
⚙️ USAGE
Sweep + TP & SL Strategy
Example: BTCUSDT (1D) - Replay back to 9th November 2024
After an FTD candle forms, traders can adopt a systematic approach to enhance their trading strategy. First, they should determine the swing range and convert the post-FTD zone into concrete stop loss and take profit levels, which are based on the price action during the FTD formation. Next, traders should wait for a sweep formation, as this indicates that institutional players are accumulating positions. A quick price rejection from the sweep level should be observed before executing an entry.
The reasoning behind this strategy is rooted in market microstructure. By waiting for the sweep, traders position themselves alongside institutional players who need to build large positions without causing adverse price movement. The sweep creates the liquidity they need, and the subsequent move often represents the true trend continuation.
DISCLAIMER
This indicator is not financial advice, it can only help traders make better decisions. There are many factors and uncertainties that can affect the outcome of any endeavor, and no one can guarantee or predict with certainty what will occur. Therefore, one should always exercise caution and judgment when making decisions based on past performance.
Candle % Close with Bullish/Bearish EvaluationI created the indicator to more quickly define the polarity of candles. For a large number of candles, it is straightforward to determine whether a candle is bullish or bearish. However, candles with long wicks often appear, making it uncertain whether the candle is bullish or bearish from a price action perspective. It is not a rule that a red candle is bearish and a green candle is bullish.
From a more advanced price action standpoint, how these candles close is important. Therefore, I created the 'Percent range' input. By default, it is set to 50% (high-low)/2. This way, the indicator precisely determines 50% of the candle's entire range. This allows us to determine whether a bearish candle truly closed below 50% of its range. If not, such a candle is considered bullish, even if it is a negative candle. The same applies to bullish candles, but conversely. If a positive candle closes below 50% of its range, from a price action perspective, it is considered a bearish candle.
Since in price action it is common for the price to return to 50% of the previous candle and, after filling, to continue in the established trend, I added the line extension option. Whatever high value you enter, the line extension follows the current candle. This option works only when the stop line checkbox is enabled. This way, you can plot 50% of the candle's range that the market has historically not returned to due to a strong trend. Often, this line is plotted on a candle where there is also an FVG, which can help you more easily find a point of interest.
Stop line extension : Ensures the interruption of line plotting when the candle is touched by the body or wick.
Session Averages: Open, High, LowThis indicator allows for the user to specify an intraday time based range and calculate the average open price, average high price, and average low price for that session. The indicator plots the 5 most recent sessions on the chart, which allows for the user to identify fair value, Power of 3 movements, trends, and consolidations.
If bullish the user can identify when price is below the average open or low price of a range, and if bearish can identify when price is above the open or high of a range.
Trend Heuristics (+Signals)Trend Heuristics - Enhanced Rolling VWAP with Smart Signals
This indicator is an enhanced version of the Rolling VWAP (RVWAP) concept, originally based on PineCoders' ConditionalAverages library. It combines volume-weighted average price analysis with advanced signal detection for both sweeps and breakouts.
Core Features
1. Rolling VWAP System
- Implements a dynamic rolling VWAP that adapts to different timeframes
- Includes standard deviation bands for volatility measurement
- Offers flexible time period settings (fixed or auto-adjusting)
- Provides customizable visual elements including bands and fills
2. Dual Signal System
Sweep Signals
Detects high-probability reversal points with these conditions:
- Bullish Sweep:
- Opens above upper band
- Tests below upper band (low)
- Closes above upper band
- Shows stronger lower wick
- Closes above previous high
- Has favorable close position (upper 50% of candle)
- Bearish Sweep:
- Opens below lower band
- Tests above lower band (high)
- Closes below lower band
- Shows stronger upper wick
- Closes below previous low
- Has favorable close position (lower 50% of candle)
Breakout Signals
Identifies potential trend changes with these conditions:
- Bullish Breakout:
- Opens below VWAP
- Closes above upper band
- Indicates strong momentum shift upward
- Bearish Breakout:
- Opens above VWAP
- Closes below lower band
- Indicates strong momentum shift downward
Technical Details
Base Components
- Built upon PineCoders' ConditionalAverages library
- Incorporates custom alert system via CustomAlertLib
- Uses standard deviation for band calculations
Customization Options
- Adjustable standard deviation multiplier
- Flexible time period settings
- Independent controls for sweep and breakout signals
- Customizable visual elements (colors, sizes, positions)
- Custom alert message formatting
Use Cases
1. Trend Following:
- Use VWAP as dynamic support/resistance
- Monitor breakout signals for trend changes
2. Mean Reversion:
- Use sweep signals for counter-trend opportunities
- Standard deviation bands for range identification
3. Volume Analysis:
- VWAP provides volume-weighted price levels
- Helps identify significant price levels
Notes
- Best performed on liquid instruments with consistent volume
- Most effective on timeframes from 1hours to 4 hours and 1D, anything greater isn't very good
- Recommended to use in conjunction with other technical analysis tools
- Signals can be filtered based on higher timeframe trends
Credits
- Original Rolling VWAP concept by PineCoders
PreMarket_Estimator Portfolio [n_dot]AMEX:SOXL ; NASDAQ:TQQQ ; AMEX:FNGU ; AMEX:SOXS ; NASDAQ:SQQQ ; AMEX:FNGD
Strategy Core Idea:
I focus on stocks that are expected to show significant price movements (gaps) during the premarket, usually due to news or earnings reports. I record the highest price formed during the premarket, and if the price exceeds this level after the market opens, I go LONG. Based on my experience, it’s advisable to exit after a few percentage points of increase, as the premarket boom often corrects itself.
Usage:
The indicator is best used in pairs: Pre_Market_Estimator Single and Pre_Market_Estimator Portfolio.
In this portfolio version, you can set up 6 different instruments, which are displayed stacked vertically on the screen, while the single version monitors only one instrument. The portfolio does not plot charts at the actual price levels but offsets them vertically, displaying the current prices in a label at the end of each chart.
Settings:
Time point 1: Start of the observation period.
Time point 2: End of the observation period / Start of the trading period.
GAP: is used to adjust the distance between the charts displayed in the portfolio view. This allows you to customize the spacing for better readability and visualization of the monitored instruments.
Usage:
Set the timeframe period to "1m".
Set Time point 1 to the start of the premarket session on the current day (e.g., NYSE: 9:00).
Set Time point 2 to the market open (e.g., NYSE: 9:30).
The indicator monitors the highest price during the premarket period, marking it with a blue line.
During the subsequent trading period, if the price exceeds the premarket high, it generates a buy signal marked with a blue plus sign.
Limitations:
The premarket prediction typically provides actionable signals during the first 30 minutes to 1 hour of the trading session. After this, the trend is usually driven by daily market events or news.
To reduce data usage, the portfolio version of the indicator (which monitors 6 instruments simultaneously) only loads the last 24 hours of data (60 * 24 minutes). After this, the chart stops providing signals, and the time points need to be reset.
Additional Use Cases:
This type of breakout monitoring is not only suitable for observing premarket events but can also provide relevant information before major announcements.
For example, in the case of central bank rate hikes:
Set Point 1 to 1 hour before the announcement.
Set Point 2 to the time of the announcement.
I hope this contributes to your success!
Automatic comparison of symbols depending on custom listIn the indicator settings, specify a list of tickers and the corresponding symbol for comparison (e.g. TVC:DXY). Each new list must be on a separate line. The line must begin with the symbol for comparison, then an equal sign (=), and then a list of tickers separated by commas (e.g. OANDA:XAUUSD, OANDA:XAGUSD). If the ticker selected in the chart window is not found in any of the lists, then the symbol from the first list, which is specified before the equal sign, will be used as the symbol for comparison. For example:
TVC:DXY = OANDA:XAUUSD, OANDA:XAGUSD
OANDA:BCOUSD = OANDA:SPX500USD
OANDA:SPX500USD = BINANCE:BTCUSDT
***
Автоматическое сравнение символов в зависимости от настраиваемого списка
В настройках индикатора укажите список тикеров и соответствующий символ для сравнения. Каждый новый список должен быть на отдельной строке. В начале строки должен быть указан символ для сравнения (например, TVC:DXY), затем знак равенства (=) и после него список тикеров, разделенных запятыми (например, OANDA:XAUUSD, OANDA:XAGUSD). Если выбранный в окне графика тикер не будет найден ни в одном из списков, то в качестве символа для сравнения ему будет соответствовать символ из первого списка, который указан перед знаком равенства. Например:
TVC:DXY = OANDA:XAUUSD, OANDA:XAGUSD
OANDA:BCOUSD = OANDA:SPX500USD
OANDA:SPX500USD = BINANCE:BTCUSDT
MAG 7 - Weighted Multi-Symbol Momentum + ExtrasOverview
This indicator aggregates the percentage change of multiple symbols into a single “weighted momentum” value. You can set individual weights to emphasize or de-emphasize particular stocks. The script plots two key items:
The default tickers in the script are:
AAPL (Apple)
AMZN (Amazon)
NVDA (NVIDIA)
MSFT (Microsoft)
GOOGL (Alphabet/Google)
TSLA (Tesla)
META (Meta Platforms/Facebook)
Raw Weighted Momentum (Histogram):
Each bar represents the combined (weighted) percentage change across your chosen symbols for that bar.
Bars are colored green if the momentum is above zero, or red if below zero.
Smoothed Momentum (Yellow Line):
An Exponential Moving Average (EMA) of the raw momentum for a smoother trend view.
Helps visualize when short-term momentum is accelerating or decelerating relative to its average.
Features
Symbol Inputs: Up to seven user-defined tickers, with weights for each symbol.
Smoothing Period: Set a custom lookback length to calculate the EMA (or switch to SMA in the code if you prefer).
Table Display: A built-in table in the top-right corner lists each symbol’s real-time percentage change, plus the total weighted momentum.
Alerts:
Configure alerts for when the weighted momentum crosses above or below user-defined thresholds.
Helps you catch major shifts in sentiment across multiple symbols.
How To Use
Select Symbols & Weights: In the indicator’s settings, specify the tickers you want to monitor and their corresponding weights. Weights default to 1 (equal weighting).
Watch the Bars vs. Zero:
Bars above zero mean a positive weighted momentum (the basket is collectively moving up).
Bars below zero mean negative weighted momentum (the basket is collectively under pressure).
Check the Yellow Line: The EMA of momentum.
If the bars consistently stay above the line, short-term momentum is stronger than its recent average.
If the bars dip below the line, momentum is weakening relative to its average.
Review the Table: Quick snapshot of each symbol’s daily percentage change plus the total basket momentum, all color-coded red or green.
Caution & Tips
This indicator measures rate of change, not absolute price levels. A rising momentum can still be part of a larger downtrend.
Always combine momentum readings with other technical and/or fundamental signals for confirmation.
For better reliability, experiment with different smoothing lengths to suit your trading style (shorter for scalping, longer for swing or positional approaches).
PreannFXExplanation of the PreannFX indicator:
Candle Body Size:
The body of the current candle is larger than the previous candle.
Bullish Engulfing:
The current candle closes higher than the previous candle's high.
The body size is larger than the previous candle.
Bearish Engulfing:
The current candle closes lower than the previous candle's low.
The body size is larger than the previous candle.
Entry and Exit:
Bullish: Enter at the previous candle's open or high, stop loss at the previous low, and take profit is 1:1 with the stop loss.
Bearish: Enter at the previous candle's open or low, stop loss at the previous high, and take profit is 1:1 with the stop loss.
Visualization:
Green upward arrows for bullish engulfing patterns.
Red downward arrows for bearish engulfing patterns.
Detecting Sideways Market or Strong Trends| Copy Trade Tungdubai**Tool Description**:
The **"Detecting Sideways Market or Strong Trends | Copy Trade Tungdubai"** tool is designed to help traders identify two key market conditions:
1. **Sideways Market**:
- This condition is detected when the ADX is below 20, the price stays within the Bollinger Bands, and the RSI is between 45 and 55.
- When the market is sideways, the chart background will turn yellow as a visual alert.
2. **Strong Trend Market**:
- This condition is identified when the ADX is above 25, and either the price breaks out of the Bollinger Bands or the RSI surpasses the overbought (70) or oversold (30) levels.
- When the market is in a strong trend, the chart background will turn blue as a visual alert.
**Key Components of the Tool**:
- **ADX**: Measures the strength of the market trend, with key thresholds at 20 and 25.
- **Bollinger Bands**: Helps determine volatility and checks if the price is within or outside the bands.
- **RSI**: Measures momentum, helping identify overbought and oversold levels.
**Visual Features on the Chart**:
- ADX, RSI, and Bollinger Bands are clearly plotted with their respective key thresholds for easier recognition of market conditions.
- The chart background changes color to reflect the current market condition (yellow for sideways, blue for strong trends).
**Alerts**:
- Alerts are triggered when the market enters either a sideways or strong trend phase, providing notifications to help users act promptly.
This tool serves as a practical aid in recognizing market conditions, allowing traders to make informed decisions aligned with their strategies.
**Mô tả công cụ**:
Công cụ **"Detecting Sideways Market or Strong Trends | Copy Trade Tungdubai"** được thiết kế để giúp các nhà giao dịch xác định hai trạng thái chính của thị trường:
1. **Thị trường đi ngang (Sideways)**:
- Điều kiện được xác định dựa trên chỉ số ADX thấp hơn ngưỡng 20, giá nằm trong dải Bollinger Bands, và chỉ số RSI dao động trong khoảng từ 45 đến 55.
- Khi thị trường đi ngang, nền của biểu đồ sẽ chuyển sang màu vàng để cảnh báo trực quan.
2. **Thị trường bùng nổ sóng mạnh (Strong Trend)**:
- Điều kiện được xác định khi ADX vượt qua ngưỡng 25 và giá phá vỡ dải Bollinger Bands (hoặc) chỉ số RSI vượt ngưỡng quá mua 70 hoặc quá bán 30.
- Khi thị trường bùng nổ sóng mạnh, nền biểu đồ sẽ chuyển sang màu xanh để cảnh báo trực quan.
**Các thành phần chính của công cụ**:
- **ADX**: Được sử dụng để đo sức mạnh xu hướng thị trường, với các ngưỡng quan trọng là 20 và 25.
- **Bollinger Bands**: Được sử dụng để xác định mức độ biến động và kiểm tra giá nằm trong hay ngoài dải.
- **RSI**: Dùng để đo mức độ quá mua/quá bán, xác định động lượng giá.
**Hiển thị trên biểu đồ**:
- Các đường ADX, RSI, và Bollinger Bands được vẽ rõ ràng, cùng với các ngưỡng quan trọng (hỗ trợ nhận biết trạng thái thị trường).
- Nền biểu đồ thay đổi màu sắc tương ứng với điều kiện thị trường.
**Cảnh báo**:
- Cảnh báo sẽ được kích hoạt khi thị trường rơi vào trạng thái đi ngang hoặc bùng nổ sóng mạnh, với các thông báo giúp người dùng hành động kịp thời.
Công cụ này là một trợ thủ hữu ích trong việc nhận biết trạng thái thị trường, từ đó giúp các nhà giao dịch đưa ra quyết định phù hợp với chiến lược của mình.
BBSS+This Pine Script implements a custom indicator overlaying Bollinger Bands with additional features for trend analysis using Exponential Moving Averages (EMAs). Here's a breakdown of its functionality:
Bollinger Bands:
The script calculates the Bollinger Bands using a 20-period Simple Moving Average (SMA) as the basis and a multiplier of 2 for the standard deviation.
It plots the Upper Band and Lower Band in red.
EMA Calculations:
Three EMAs are calculated for the close price with periods of 5, 10, and 40.
The EMAs are plotted in green (5-period), cyan (10-period), and orange (40-period) to distinguish between them.
Trend Detection:
The script determines bullish or bearish EMA alignments:
Bullish Order: EMA 5 > EMA 10 > EMA 40.
Bearish Order: EMA 5 < EMA 10 < EMA 40.
Entry Signals:
Long Entry: Triggered when:
The close price crosses above the Upper Bollinger Band.
The Upper Band is above its 5-period SMA (indicating momentum).
The EMAs are in a bullish order.
Short Entry: Triggered when:
The close price crosses below the Lower Bollinger Band.
The Lower Band is below its 5-period SMA.
The EMAs are in a bearish order.
Trend State Tracking:
A variable tracks whether the market is in a Long or Short trend based on conditions:
A Long trend continues unless conditions for a Short Entry are met or the Upper Band dips below its average.
A Short trend continues unless conditions for a Long Entry are met or the Lower Band rises above its average.
Visual Aids:
Signal Shapes:
Triangle-up shapes indicate Long Entry points below the bar.
Triangle-down shapes indicate Short Entry points above the bar.
Bar Colors:
Green bars indicate a Long trend.
Red bars indicate a Short trend.
This script combines Bollinger Bands with EMA crossovers to generate entry signals and visualize market trends, making it a versatile tool for identifying momentum and trend reversals.
